Perceptual Depth Compression for Stereo Applications

Dawid Pajak, Robert Herzog, Radoslav Mantiuk, Piotr Didyk, Elmar Eisemann, Karol Myszkowski, Kari Pulli
Computer Graphics Forum (Proceedings of Eurographics) , Volume 33 - April 2014
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Conventional depth video compression uses video codecs designed for color images. Given the performance of current encoding standards, this solution seems efficient. However, such an approach suffers from many issues stemming from discrepancies between depth and light perception. To exploit the inherent limitations of human depth perception, we propose a novel depth compression method that employs a disparity perception model. In contrast to previous methods, we account for disparity masking, and model a distinct relation between depth perception and contrast in luminance. Our solution is a natural extension to the H.264 codec and can easily be integrated into existing decoders. It significantly improves both the compression efficiency without sacrificing visual quality of depth of rendered content, and the output of depth-reconstruction algorithms or depth cameras.

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BibTex references

@InProceedings { PHMDEMP14,
  author       = "Pajak, Dawid and Herzog, Robert and Mantiuk, Radoslav and Didyk, Piotr and Eisemann, Elmar and Myszkowski,
                  Karol and Pulli, Kari",
  title        = "Perceptual Depth Compression for Stereo Applications ",
  booktitle    = "Computer Graphics Forum (Proceedings of Eurographics) ",
  volume       = "33",
  month        = "April",
  year         = "2014",
  keywords     = "3D Graphics, Cloud Computing, Signal processing, Stereoscopic 3D, Video Processing",
  url          = ""

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» Dawid Pajak
» Robert Herzog
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» Elmar Eisemann
» Karol Myszkowski